Triple
T3361804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kala Pani |
E70738
|
entity |
| Predicate | notablePrisoner |
P15560
|
FINISHED |
| Object | Yogendra Shukla |
E73707
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yogendra Shukla | Statement: [Kala Pani, notablePrisoner, Yogendra Shukla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yogendra Shukla Context triple: [Kala Pani, notablePrisoner, Yogendra Shukla]
-
A.
Yogendra Shukla
chosen
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
B.
Vinai Kumar Saxena
Vinai Kumar Saxena is an Indian administrator and former chairman of the Khadi and Village Industries Commission who serves as the Lieutenant Governor of Delhi.
-
C.
Pradip Krishen
Pradip Krishen is an Indian filmmaker-turned-environmentalist and naturalist known for his documentaries and influential work on urban ecology and tree mapping in India.
-
D.
Anant Singh
Anant Singh is a prominent South African film producer of Indian origin, best known for producing critically acclaimed anti-apartheid and socially conscious films.
-
E.
Jitendra Malik
Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26906948190851a7b7d543a4d64 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360a07dec819094b0645d0e2a91da |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:13 p.m.